Liang Jin

3.4k total citations · 1 hit paper
93 papers, 2.7k citations indexed

About

Liang Jin is a scholar working on Molecular Biology, Surgery and Biomaterials. According to data from OpenAlex, Liang Jin has authored 93 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 19 papers in Surgery and 15 papers in Biomaterials. Recurrent topics in Liang Jin's work include Pancreatic function and diabetes (14 papers), Diabetes and associated disorders (8 papers) and MicroRNA in disease regulation (8 papers). Liang Jin is often cited by papers focused on Pancreatic function and diabetes (14 papers), Diabetes and associated disorders (8 papers) and MicroRNA in disease regulation (8 papers). Liang Jin collaborates with scholars based in China, United States and Spain. Liang Jin's co-authors include Yi Pan, Tingting Tang, Guangyin Yuan, Yanfeng Zhang, Tiansong Xia, Ziwei Song, Yuanyuan Cai, Xingzhen Lao, Xue Wang and Jun Liao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Liang Jin

93 papers receiving 2.6k citations

Hit Papers

Taxonomic profiling and populational patterns of bacteria... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Liang Jin China 28 1.4k 601 398 378 351 93 2.7k
Chan Woo Kim South Korea 31 1.5k 1.0× 692 1.2× 347 0.9× 295 0.8× 265 0.8× 77 3.1k
Kun Wang China 32 1.3k 0.9× 664 1.1× 583 1.5× 275 0.7× 233 0.7× 165 3.1k
Mohamed Benderdour Canada 37 1.7k 1.2× 391 0.7× 272 0.7× 459 1.2× 298 0.8× 87 3.9k
Ann Y. Park United States 3 1.6k 1.1× 492 0.8× 299 0.8× 373 1.0× 531 1.5× 4 3.7k
Jiaying Li China 32 1.4k 1.0× 537 0.9× 302 0.8× 181 0.5× 431 1.2× 169 3.0k
Lihua Li China 35 1.8k 1.3× 499 0.8× 251 0.6× 338 0.9× 248 0.7× 182 3.8k
Çığır Biray Avcı Türkiye 29 1.5k 1.1× 769 1.3× 236 0.6× 180 0.5× 503 1.4× 169 3.0k
Dongqing Li China 26 1.1k 0.8× 506 0.8× 390 1.0× 534 1.4× 238 0.7× 66 4.1k
Shunji Hattori Japan 33 1.5k 1.0× 439 0.7× 285 0.7× 584 1.5× 281 0.8× 168 3.5k
Christelle Sanchez Belgium 31 1.1k 0.8× 337 0.6× 414 1.0× 183 0.5× 308 0.9× 82 3.6k

Countries citing papers authored by Liang Jin

Since Specialization
Citations

This map shows the geographic impact of Liang Jin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Liang Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Jin more than expected).

Fields of papers citing papers by Liang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liang Jin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Liang Jin. The network helps show where Liang Jin may publish in the future.

Co-authorship network of co-authors of Liang Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Jin. A scholar is included among the top collaborators of Liang Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liang Jin. Liang Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jin, Liang, et al.. (2025). Emerging Therapeutic Strategies in Intracerebral Hemorrhage: Enhancing Neurogenesis and Functional Recovery. MedComm. 6(10). e70377–e70377. 1 indexed citations
2.
Jin, Liang, et al.. (2024). Rheumatoid arthritis and COVID-19 outcomes: a systematic review and Meta-analysis. BMC Rheumatology. 8(1). 61–61. 2 indexed citations
3.
Li, Minghui, et al.. (2023). Engineering the Physical Microenvironment into Neural Organoids for Neurogenesis and Neurodevelopment. Small. 20(6). e2306451–e2306451. 4 indexed citations
5.
Jin, Liang, Yumei Zhang, Jiehong Yang, et al.. (2022). Investigation of Pharmacological Mechanisms of Yinhua Pinggan Granule on the Treatment of Pneumonia through Network Pharmacology and In Vitro. BioMed Research International. 2022(1). 1602447–1602447. 5 indexed citations
6.
Jiang, Zhenlin, Min Zhu, Shiqiang Song, et al.. (2021). Thermal cross‐linking and anti‐meltdrop properties of copolyester containing phosphorus/magnesium salt composites by in situ polymerization. Journal of Vinyl and Additive Technology. 27(2). 432–444. 9 indexed citations
7.
Zhang, Fangfang, Yue Yang, Xi Chen, et al.. (2021). The long non-coding RNA βFaar regulates islet β-cell function and survival during obesity in mice. Nature Communications. 12(1). 3997–3997. 30 indexed citations
8.
Zhao, Wanli, Danwei Wang, Yuhong Liu, et al.. (2020). Obesity-induced overexpression of miR-802 impairs insulin transcription and secretion. Nature Communications. 11(1). 1822–1822. 68 indexed citations
9.
Jin, Liang, Chenxin Chen, Gaozhi Jia, et al.. (2020). The bioeffects of degradable products derived from a biodegradable Mg-based alloy in macrophages via heterophagy. Acta Biomaterialia. 106. 428–438. 29 indexed citations
11.
Guo, Jiamin, Jing Song, Yi Pan, et al.. (2019). Expansion and Maintenance of CD133-Expressing Pancreatic Ductal Epithelial Cells by Inhibition of TGF-β Signaling. Stem Cells and Development. 28(18). 1236–1252. 4 indexed citations
12.
Jin, Liang, Jing Wu, Guangyin Yuan, & Tong‐Xin Chen. (2018). In vitro study of the inflammatory cells response to biodegradable Mg-based alloy extract. PLoS ONE. 13(3). e0193276–e0193276. 30 indexed citations
13.
Luo, Angela, Jacob R. Tremblay, Jeffrey Rawson, et al.. (2017). Adult Murine Pancreatic Progenitors Require Epidermal Growth Factor and Nicotinamide for Self-Renewal and Differentiation in a Serum- and Conditioned Medium-Free Culture. Stem Cells and Development. 26(8). 599–607. 18 indexed citations
15.
Mahdavi, Alborz, Feng Tao, Liang Jin, et al.. (2015). Postnatal Pancreas of Mice Contains Tripotent Progenitors Capable of Giving Rise to Duct, Acinar, and Endocrine Cells In Vitro. Stem Cells and Development. 24(17). 1995–2008. 15 indexed citations
16.
Li, Wei, et al.. (2012). Study on Grinding Mechanism of BCB Grinding Wheel. Advanced materials research. 472-475. 2914–2917. 2 indexed citations
17.
Chen, Chia‐Lin, Jing Chai, Ching‐Ying Kuo, et al.. (2011). Characterization of an In Vitro Differentiation Assay for Pancreatic-Like Cell Development from Murine Embryonic Stem Cells: Detailed Gene Expression Analysis. Assay and Drug Development Technologies. 9(4). 403–419. 19 indexed citations
18.
Tao, Feng, et al.. (2011). A Quantitative Assay for Insulin-expressing Colony-forming Progenitors. Journal of Visualized Experiments. e3148–e3148. 9 indexed citations
19.
Du, Mingzhu, Yun Xing, Maolei Xu, et al.. (2011). Vaccination of non-obese diabetic mice with a fragment of peptide P277 attenuates insulin-dependent diabetes mellitus. International Immunopharmacology. 11(9). 1298–1302. 14 indexed citations
20.
Jin, Liang, Jianping Li, Rongyue Cao, et al.. (2009). A Th2 immune shift to heat shock protein 65 fails to arrest atherosclerosis: Proatherogenic role of Th2-deviated autoantibodies. Autoimmunity. 42(6). 475–483. 12 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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